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Cancer-no cancer per image classification 벤치마크

Cancer-no cancer per image classification on CBIS-DDSM

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AUC

0.6822 0.7139 0.7456 0.7773 0.809 2017-08 2026-09 VGG/ResNet — 0.75 (2017-08-30) MorphHR-ResNet18_S896 — 0.7964 (2021-01-20) ResNet18_S896 — 0.7958 (2021-01-20) ResNet18_S448 — 0.7882 (2021-01-20) MorphHR-ResNet18_S448 — 0.7836 (2021-01-20) MorphHR-ResNet18_S224 — 0.7523 (2021-01-20) ResNet18_S224 — 0.7257 (2021-01-20) XGBoost — 0.6849 (2021-04-26) VGG16 — 0.6822 (2021-04-26) SingleView_PatchBased_EfficientNet-B0 — 0.8033 (2021-10-01) SingleView_PatchBased_EfficientNet-B3 — 0.7952 (2021-10-01) VGG/ResNet — 0.75 (2021-10-01) Multi-patch size DenseNet-121 — 0.809 (2023-04-21) Multi-resolution DenseNet-121 — 0.789 (2023-04-21) Feature Pyramid Network DenseNet-121 — 0.788 (2023-04-21) Patch-based DenseNet-121 — 0.784 (2023-04-21) VGG/ResNet — 0.75 (2017-08-30) MorphHR-ResNet18_S896 — 0.7964 (2021-01-20) SingleView_PatchBased_EfficientNet-B0 — 0.8033 (2021-10-01) Multi-patch size DenseNet-121 — 0.809 (2023-04-21)
RankModel AUC PaperCodeYear
1 Multi-patch size DenseNet-121 0.809 Exploiting Patch Sizes and Resolutions for Multi-Scale Deep Learning in Mammogram Image Classification 2023
2 SingleView_PatchBased_EfficientNet-B0 0.8033 Breast Cancer Diagnosis in Two-View Mammography Using End-to-End Trained EfficientNet-Based Convolutional Network dpetrini/two-views-classifier 2021
3 MorphHR-ResNet18_S896 0.7964 Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations 2021
4 ResNet18_S896 0.7958 Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations 2021
5 SingleView_PatchBased_EfficientNet-B3 0.7952 Breast Cancer Diagnosis in Two-View Mammography Using End-to-End Trained EfficientNet-Based Convolutional Network dpetrini/two-views-classifier 2021
6 Multi-resolution DenseNet-121 0.789 Exploiting Patch Sizes and Resolutions for Multi-Scale Deep Learning in Mammogram Image Classification 2023
7 ResNet18_S448 0.7882 Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations 2021
8 Feature Pyramid Network DenseNet-121 0.788 Exploiting Patch Sizes and Resolutions for Multi-Scale Deep Learning in Mammogram Image Classification 2023
9 Patch-based DenseNet-121 0.784 Exploiting Patch Sizes and Resolutions for Multi-Scale Deep Learning in Mammogram Image Classification 2023
10 MorphHR-ResNet18_S448 0.7836 Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations 2021
11 MorphHR-ResNet18_S224 0.7523 Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations 2021
12 VGG/ResNet 0.75 Deep Learning to Improve Breast Cancer Early Detection on Screening Mammography lishen/end2end-all-conv · nyukat/mammography_metarepository · yuyuyu123456/CBIS-DDSM · +2 2017
12 VGG/ResNet 0.75 Breast Cancer Diagnosis in Two-View Mammography Using End-to-End Trained EfficientNet-Based Convolutional Network dpetrini/two-views-classifier 2021
14 ResNet18_S224 0.7257 Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations 2021
15 XGBoost 0.6849 Machine Learning Algorithms for Breast Cancer Detection in Mammography Images: A Comparative Study 2021
16 VGG16 0.6822 Machine Learning Algorithms for Breast Cancer Detection in Mammography Images: A Comparative Study 2021
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